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  /external/toolchain-utils/bestflags/
genetic_algorithm.py 157 # point. If NUM_TRIALS of trials have been attempted to generate a new task
159 NUM_TRIALS = None
168 def InitMetaData(stop_threshold, num_chromosomes, num_trials, specs,
176 num_trials: The number of trials, upon which new task has been tried to
184 GAGeneration.NUM_TRIALS = num_trials
197 NUM_TRIALS defined in the GAGeneration class.
262 num_trials = 0
263 # Try num_trials times to produce a new child.
264 while num_trials < GAGeneration.NUM_TRIALS
    [all...]
example_algorithms.py 53 NUM_TRIALS = 'NUM_TRIALS'
101 if NUM_TRIALS not in meta_data:
102 num_trials = DEFAULT_NUM_TRIALS
104 num_trials = meta_data[NUM_TRIALS]
117 GAGeneration.InitMetaData(stop_threshold, num_chromosomes, num_trials, specs,
122 num_trials)
testing_batch.py 41 NUM_TRIALS = 20
107 def GenerateRandomGATasks(specs, num_tasks, num_trials):
113 num_trials: the maximum number of tries should be attempted to generate the
123 while len(tasks) < num_tasks and total_trials < num_trials:
398 GAGeneration.InitMetaData(STOP_THRESHOLD, NUM_CHROMOSOMES, NUM_TRIALS,
402 generation_tasks = GenerateRandomGATasks(specs, NUM_CHROMOSOMES, NUM_TRIALS)
  /external/tensorflow/tensorflow/python/kernel_tests/
tensordot_op_test.py 158 num_trials = min(30, num_dims_ * num_dims_)
165 for _ in range(num_trials):

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